Tommaso Rigon
Assistant Professor (RTD-B) at Università degli Studi di Milano-Bicocca
Milan, Lombardy, Italy
Summary
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Senior🎓
Top SchoolTommaso Rigon is an Associate Professor of Statistics at the University of Milano-Bicocca with a decade of experience spanning academic research, teaching, and applied data science. Trained with a PhD from Università Bocconi and postdoctoral work at Duke, his research focuses on Bayesian methods for clustering, dimensionality reduction, and biostatistical applications. He progressed through Italy’s academic track from RTD-A to RTD-B and now to associate professor, evidencing a strong record of scholarship and teaching in econometrics and statistics. Based in Milan, he blends rigorous theoretical work with practical data science skills, supporting collaborations across economics, management, and health sciences. His professional web presence and curated materials on his website reflect an active engagement with dissemination of methods, lectures, and open research. Colleagues value his ability to translate complex Bayesian methodology into usable tools for interdisciplinary teams.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Università Commerciale 'Luigi Bocconi'Master’s Degree, Statistics, 110 / 110 cum laude, Master’s Degree, Statistics, 110 / 110 cum laude at Università degli Studi di Padova
Github Skills (14)
pcm10
dpc9
italia9
sequential8
r-package7
bayesian7
javascript6
bayesian-inference5
jekyll5
creative-commons5
machine-learning4
open-source4
open-data4
data-analysis2
Programming languages (2)
Github contributions (5)
tommasorigon/CompStat
Jul 2021 - Mar 2024
Contributions:103 pushes in 2 years 8 months
tommasorigon/logistic-bias-reduction
Jan 2022 - Jan 2022
Contributions:59 commits, 43 pushes, 3 branches in 11 days
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